JOURNAL ARTICLE

VISION VAULT: INTELLIGENT VIDEO SURVEILLANCE SYSTEM

B. LakshmiV. PavaniPrasad ReddySK ZabeehullahCH Avinash

Year: 2025 Journal:   International Journal of Engineering Applied Sciences and Technology Vol: 09 (11)Pages: 44-48   Publisher: IJEAST

Abstract

Vision Vault: Intelligent Video Surveillance System is a cutting-edge solution designed to enhance security in office environments through real-time object detection and analysis using the YOLO v8 algorithm. The system integrates multiple advanced modules, including Video Acquisition for capturing live feeds, preprocessing for frame enhancement and formatting, and Object Detection for identifying and classifying objects. The Behaviour Analysis & Anomaly Detection Module monitors movements and detects suspicious activities, and unattended objects. When anomalies are detected, the Alert & Notification Module sends real time alerts via email, ensuring swift responses to potential threats. A user-friendly User Interface & Monitoring Module provides a dashboard for realtime monitoring, allowing security personnel to manage and review surveillance data efficiently. The system’s modular and scalable architecture ensures adaptability to various office environments, making it a robust and fault-tolerant solution. By automating surveillance tasks and delivering actionable insights, Vision Vault enhances security, reduces manual effort, and optimizes office operations, ensuring a smarter and safer workplace.

Keywords:
Vault (architecture) Computer science Computer security Computer vision Artificial intelligence Engineering

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Topics

Currency Recognition and Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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